scholarly journals Fuzzy Social Force Model for Pedestrian Evacuation under View-Limited Condition

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ningbo Cao ◽  
Liying Zhao ◽  
Mingtao Chen ◽  
Ruiqi Luo
Keyword(s):  
Fuzzy Sets ◽  
Model Performance ◽  
Space Distribution ◽  
Force Model ◽  
Social Force ◽  
Microscopic Simulation ◽  
Social Force Model ◽  
Limited Condition ◽  
Pedestrian Evacuation ◽  
The Impact

Pedestrian evacuation dynamics in a classroom is always a complex process influenced by many fuzzy factors. It is very difficult and inappropriate to quantify the impact of these fuzzy factors by using the mathematical formula. Existing microscopic simulation models have made many efforts to use accurate mathematical method to model the fuzzy interaction behaviors between pedestrians under the view-limited condition. This study tries to fill this gap by establishing a microscopic simulation model which can represent the fuzzy behaviors of pedestrians under view-limited condition. The developed fuzzy social force model (FSFM) combines fuzzy logic into conventional social force model (SFM). Different from existing models and applications, FSFM adopts fuzzy sets and membership functions to describe the pedestrian evacuation process. Seven fuzzy sets are defined for this process, such as stop/go, moving direction, desired force, force from obstacles, force from pedestrian, force from indicators, and acceleration. Membership function of each input factor is calibrated based on the observed data. Model performance is verified by comparing speed distribution, velocity-density relationship, and results of simulation and observation evacuation time. Besides, the proposed model is applied to assess the number and space distribution of exit indicators and stickers. By comparing simulation results with existing models, the paper concludes that FSFM is able to well reproduce pedestrian movement dynamics in real world under view-limited condition.

scholarly journals Influence of different merging angles of pedestrian flows on evacuation time

Fire Research ◽  
2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Manuela Marques Lalane Nappi ◽  
Ivana Righetto Moser ◽  
João Carlos Souza
Keyword(s):  
Built Environment ◽  
Computer Simulations ◽  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
Evacuation Time ◽  
Emergency Evacuations ◽  
Crowd Dynamics ◽  
The Social ◽  
The Impact

The growing number of fires and other types of catastrophes occurring at large events highlights the need to rethink safety concepts and also to include new ways to optimize buildings and venues where events are held. Although there have been some attempts to model and simulate the movement of pedestrian crowds, little knowledge has been gathered to better understand the impact of the built environment and its geometric characteristics on the crowd dynamics. This paper presents computer simulations about pedestrians’ crowd dynamics that were conducted based on the Social Force Model. The influence of different configurations of pedestrian flows merging during emergency evacuations was investigated. In this study, 12 designs with different merging angles were examined, simulating the evacuation of 400 people in each scenario. The Planung Transport Verkehr (PTV, German for Planning Transport Traffic) Viswalk module of the PTV Vissim software (PTV Group, Karlsruhe, Germany) program was adopted, which allows the employment of the Social Force approach. The results demonstrate that both symmetric and asymmetric scenarios are sensitive to the angles of convergence between pedestrian flows.

An extended social force model for pedestrian evacuation under disturbance fluctuation force

2020 ◽  
Vol 31 (07) ◽  
pp. 2050102
Author(s):  
Juan Wei ◽  
Wenjie Fan ◽  
Yangyong Guo ◽  
Jun Hu ◽  
Yuanyuan Fang
Keyword(s):  
Mathematical Expression ◽  
Momentum Equation ◽  
Position Vector ◽  
Force Model ◽  
Pedestrian Flow ◽  
Social Force ◽  
Social Force Model ◽  
Fluctuation Force ◽  
Pedestrian Evacuation ◽  
Crowd Density

In order to characterize the disturbance fluctuation of pedestrian flow caused by the disturbance during evacuation and the state change of pedestrian flow, this paper improves the social force model by introducing disturbance fluctuation force. First, a momentum equation is established to describe the change of pedestrian flow under the influence of disturbance fluctuation, and the mathematical expression of disturbance fluctuation force is given. Second, the evacuation processes of pedestrian flow with and without “queue jumpers” are simulated with the simulation experimental platform, and the key factors influencing the performance of the model are deeply studied through numerical analysis. The results showed that: when the expected velocity is the same, the bigger the angle between the cross-section position vector and the initial expected velocity is, the more serious the congestion occurs at the exit. In addition, when the crowd density is small, the larger the angle, the higher the evacuation efficiency and vice versa.

Dynamic navigation field in the social force model for pedestrian evacuation

2020 ◽  
Vol 80 ◽  
pp. 815-826 ◽  
Author(s):  
Yanqun Jiang ◽  
Bokui Chen ◽  
Xi Li ◽  
Zhongjun Ding
Keyword(s):  
Force Model ◽  
Social Force ◽  
Social Force Model ◽  
Pedestrian Evacuation ◽  
The Social ◽  
Dynamic Navigation

scholarly journals A re-examination of the role of friction in the original Social Force Model

2020 ◽  
Vol 121 ◽  
pp. 42-53 ◽  
Author(s):  
I.M. Sticco ◽  
G.A. Frank ◽  
F.E. Cornes ◽  
C.O. Dorso
Keyword(s):  
Force Model ◽  
Social Force ◽  
Social Force Model
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